Paper Citation Record · LEDGER

Deep Reinforcement Learning Agents are not even close to Human Intelligence

As of 11 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 4 inbound Pith citation observations for arXiv:2505.21731.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.21731 v1

Coverage vector

measured 82 of 82 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:30:30.809999Z

measured 86 of 86 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-08T03:13:07.963343Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-08T03:14:31.657309Z

Reference resolution

82 of 82 outbound references displayed

verified exact0
verified fuzzy66
unresolved16
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 134c8065-0c24-4436-a59c-2deac18b0316 · outbound

This paper cites write newline.

Deep Reinforcement Learning Agents are not even close to Human Intelligence write newline

Reference 1

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Source-reported events for the cited work

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Observation 579804ee-f6ef-4f18-b9aa-e86cb09b64bb · outbound

This paper cites S., Courville, A.

Deep Reinforcement Learning Agents are not even close to Human Intelligence S., Courville, A

Reference 2

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Observation 9240cbd6-8e12-459f-9fb3-d2e7dbcd135a · outbound

This paper cites R., Smith, K.

Deep Reinforcement Learning Agents are not even close to Human Intelligence R., Smith, K

Reference 3

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Observation 120536c2-1522-4d03-bdf1-a65d55a067c8 · outbound

This paper cites The option-critic architecture.

Deep Reinforcement Learning Agents are not even close to Human Intelligence The option-critic architecture

Reference 4

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Observation 74c003d1-e5d9-44f1-9a6a-9f5a283bd392 · outbound

This paper cites P., Piot, B., Kapturowski, S., Sprechmann, P., Vitvitskyi, A., Guo, Z.

Deep Reinforcement Learning Agents are not even close to Human Intelligence P., Piot, B., Kapturowski, S., Sprechmann, P., Vitvitskyi, A., Guo, Z

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:46.435022Z

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Observation 1f3b2b39-9776-401d-9db0-14d438427cd6 · outbound

This paper cites P., Sprechmann, P., Vitvitskyi, A., Guo, Z.

Deep Reinforcement Learning Agents are not even close to Human Intelligence P., Sprechmann, P., Vitvitskyi, A., Guo, Z

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:46.153627Z

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Observation 3e94862e-7013-40fa-af7f-cde9bfa1abab · outbound

This paper cites L., Saxe, R., and Tenenbaum, J.

Deep Reinforcement Learning Agents are not even close to Human Intelligence L., Saxe, R., and Tenenbaum, J

Reference 7

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Observation 676bf4e1-ca45-4d46-9246-d7fcfec8388d · outbound

This paper cites H., Wang, R., and Manchester, I.

Deep Reinforcement Learning Agents are not even close to Human Intelligence H., Wang, R., and Manchester, I

Reference 8

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Observation 93433e11-e145-468c-88f0-837ad138f22c · outbound

This paper cites Verifiable reinforcement learning via policy extraction.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Verifiable reinforcement learning via policy extraction

Reference 9

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Observation 06f56c74-38ea-435e-87ac-e127784cdfcc · outbound

This paper cites W., Hamrick, J.

Deep Reinforcement Learning Agents are not even close to Human Intelligence W., Hamrick, J

Reference 10

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Observation 6e85f31b-bc9e-4260-949f-471045e0b002 · outbound

This paper cites G., Naddaf, Y., Veness, J., and Bowling, M.

Deep Reinforcement Learning Agents are not even close to Human Intelligence G., Naddaf, Y., Veness, J., and Bowling, M

Reference 11

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Observation b3246711-7ea7-4c6b-895d-d87bc759b5b8 · outbound

This paper cites G., Dabney, W., and Munos, R.

Deep Reinforcement Learning Agents are not even close to Human Intelligence G., Dabney, W., and Munos, R

Reference 12

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Observation e238dab9-de2e-4ac4-ad4d-371827d9f625 · outbound

This paper cites Multi-objective causal bayesian optimization.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Multi-objective causal bayesian optimization

Reference 13

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Observation 794a1c90-393d-4399-9eb5-66c28a46ef36 · outbound

This paper cites Deep reinforcement learning via object-centric attention.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Deep reinforcement learning via object-centric attention

Reference 14

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Deep Reinforcement Learning Agents are not even close to Human Intelligence Unresolved cited work

Reference 15

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Observation 8ff71175-8dfa-4725-bdc8-ad8f8a12984e · outbound

This paper cites Galois: boosting deep reinforcement learning via generalizable logic synthesis.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Galois: boosting deep reinforcement learning via generalizable logic synthesis

Reference 16

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Observation e3853768-dce4-4b87-b112-96e7cb60e8ae · outbound

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Deep Reinforcement Learning Agents are not even close to Human Intelligence Unresolved cited work

Reference 17

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Observation 2789924c-4570-4ff5-8eb3-f36a3fc34d0a · outbound

This paper cites Quantifying generalization in reinforcement learning.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Quantifying generalization in reinforcement learning

Reference 18

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Observation d32eb536-fd92-4c5c-8127-380f4323e35f · outbound

This paper cites Leveraging procedural generation to benchmark reinforcement learning.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Leveraging procedural generation to benchmark reinforcement learning

Reference 19

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Observation 1875bd8c-6f3a-4eec-827f-aceaac255c8f · outbound

This paper cites and Lake, B.

Deep Reinforcement Learning Agents are not even close to Human Intelligence and Lake, B

Reference 20

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Observation 2d2d5b48-bc6a-4b93-8c68-f22df1a3d950 · outbound

This paper cites D., Gershman, S.

Deep Reinforcement Learning Agents are not even close to Human Intelligence D., Gershman, S

Reference 21

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Observation 7e1e23fd-16b9-49fe-9537-00a9ab938a20 · outbound

This paper cites S., and Kersting, K.

Deep Reinforcement Learning Agents are not even close to Human Intelligence S., and Kersting, K

Reference 22

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Observation 192e05ac-606d-4493-90f7-fd5428b00371 · outbound

This paper cites Boosting object representation learning via motion and object continuity.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Boosting object representation learning via motion and object continuity

Reference 23

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Observation ee4bc06d-c081-4e95-8911-71830373944b · outbound

This paper cites OCAtari : O bject-centric Atari 2600 reinforcement learning environments.

Deep Reinforcement Learning Agents are not even close to Human Intelligence OCAtari : O bject-centric Atari 2600 reinforcement learning environments

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:42.782945Z

Source-reported events for the cited work

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Observation 272d3c3e-472b-44ce-af8b-119f3d5d9b35 · outbound

This paper cites Interpretable concept bottlenecks to align reinforcement learning agents.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Interpretable concept bottlenecks to align reinforcement learning agents

Reference 25

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Observation 538e8492-d9ea-45d7-95de-6fb302af25e2 · outbound

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Deep Reinforcement Learning Agents are not even close to Human Intelligence Unresolved cited work

Reference 26

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Observation 5dcd3f36-6599-4907-8580-4ad6d661b94e · outbound

This paper cites L., Koch, J., Sharkey, L.

Deep Reinforcement Learning Agents are not even close to Human Intelligence L., Koch, J., Sharkey, L

Reference 27

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This paper cites P., and Kersting, K.

Deep Reinforcement Learning Agents are not even close to Human Intelligence P., and Kersting, K

Reference 28

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Observation 1913a38d-58be-46bb-a9ac-f74471f60e8b · outbound

This paper cites and Rothkopf, C.

Deep Reinforcement Learning Agents are not even close to Human Intelligence and Rothkopf, C

Reference 29

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Deep Reinforcement Learning Agents are not even close to Human Intelligence Unresolved cited work

Reference 30

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Observation a1873249-222c-4f9c-b53c-03303b19f054 · outbound

This paper cites IMPALA: scalable distributed deep-rl with importance weighted actor-learner architectures.

Deep Reinforcement Learning Agents are not even close to Human Intelligence IMPALA: scalable distributed deep-rl with importance weighted actor-learner architectures

Reference 31

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Observation d9b21243-9d79-402b-9e35-bea9e6f6dfb7 · outbound

This paper cites C., and Bowling, M.

Deep Reinforcement Learning Agents are not even close to Human Intelligence C., and Bowling, M

Reference 32

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Deep Reinforcement Learning Agents are not even close to Human Intelligence Unresolved cited work

Reference 33

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Observation 6dae4b7e-fa38-46c8-81f0-6a578433c42e · outbound

This paper cites S., Brendel, W., Bethge, M., and Wichmann, F.

Deep Reinforcement Learning Agents are not even close to Human Intelligence S., Brendel, W., Bethge, M., and Wichmann, F

Reference 34

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Observation 3faca16e-e516-4a4a-948d-fd86a99f5976 · outbound

This paper cites Atari agents, 2022.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Atari agents, 2022

Reference 35

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This paper cites Visualizing and understanding atari agents, 2018.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Visualizing and understanding atari agents, 2018

Reference 36

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Observation 125c1fff-cf81-47e1-b668-68c8000dccd9 · outbound

This paper cites E., Pechenizkiy, M., and Mocanu, D.

Deep Reinforcement Learning Agents are not even close to Human Intelligence E., Pechenizkiy, M., and Mocanu, D

Reference 37

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Observation 73d9257c-f359-48fd-8b32-23d3db41e002 · outbound

This paper cites H., Codel, C., Hofmann, K., Houghton, B., Kuno, N., Milani, S., Mohanty, S., Liebana, D.

Deep Reinforcement Learning Agents are not even close to Human Intelligence H., Codel, C., Hofmann, K., Houghton, B., Kuno, N., Milani, S., Mohanty, S., Liebana, D

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:39.699258Z

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Observation 9a7df026-9a1b-4b49-a424-f7216e3cff77 · outbound

This paper cites Benchmarking the spectrum of agent capabilities.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Benchmarking the spectrum of agent capabilities

Reference 39

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Deep Reinforcement Learning Agents are not even close to Human Intelligence P., Ba, J., and Norouzi, M

Reference 40

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Observation 3721e626-eb9e-4732-9136-39e1c5ee2159 · outbound

This paper cites T., Wang, Z., Heess, N., and Riedmiller, M.

Deep Reinforcement Learning Agents are not even close to Human Intelligence T., Wang, Z., Heess, N., and Riedmiller, M

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:39.420596Z

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Observation 43a621b7-75ef-42e1-8da8-92d65c9bd741 · outbound

This paper cites S., and Kersting, K.

Deep Reinforcement Learning Agents are not even close to Human Intelligence S., and Kersting, K

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:39.230738Z

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Observation 2b74f479-a4cf-4d98-9bf0-f2d7c1359a53 · outbound

This paper cites Rainbow: Combining improvements in deep reinforcement learning.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Rainbow: Combining improvements in deep reinforcement learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:39.073626Z

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Observation fb38c080-68fd-458f-a903-44f960647f4e · outbound

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Deep Reinforcement Learning Agents are not even close to Human Intelligence Unresolved cited work

Reference 44

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Observation ace4704a-3670-496e-a8fc-0b06c0e4dfc1 · outbound

This paper cites Adversarial examples are not bugs, they are features.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Adversarial examples are not bugs, they are features

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:38.594220Z

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Observation d3edb5b0-824d-4d0d-9ff6-85cb10855569 · outbound

This paper cites and Luo, S.

Deep Reinforcement Learning Agents are not even close to Human Intelligence and Luo, S

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:38.383136Z

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Observation c78e215e-f521-4030-a423-853442247cc7 · outbound

This paper cites u ml, J., W \.

Deep Reinforcement Learning Agents are not even close to Human Intelligence u ml, J., W \

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:38.193348Z

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Observation 5fa309cf-6886-46a4-9340-698ea206b8d3 · outbound

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Deep Reinforcement Learning Agents are not even close to Human Intelligence Unresolved cited work

Reference 48

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Observation 34622877-14ce-42c2-bf3b-178fba0114c7 · outbound

This paper cites Objective robustness in deep reinforcement learning.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Objective robustness in deep reinforcement learning

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:37.735890Z

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Observation 771a805f-c648-46b6-b2de-da1f8133fceb · outbound

This paper cites Interpretable and editable programmatic tree policies for reinforcement learning.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Interpretable and editable programmatic tree policies for reinforcement learning

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:37.509789Z

Source-reported events for the cited work

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Observation 652f6741-6d1d-4d1e-908e-582af4b86c39 · outbound

This paper cites R., Holyoak, K.

Deep Reinforcement Learning Agents are not even close to Human Intelligence R., Holyoak, K

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:37.340172Z

Source-reported events for the cited work

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Observation ac3a0fcf-ceda-46c7-a5a6-bda62020c866 · outbound

This paper cites M., Ullman, T.

Deep Reinforcement Learning Agents are not even close to Human Intelligence M., Ullman, T

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:37.056247Z

Source-reported events for the cited work

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Observation 42422dfc-9f94-4c5c-b909-9aee2fe4f6ee · outbound

This paper cites Sub-policy adaptation for hierarchical reinforcement learning.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Sub-policy adaptation for hierarchical reinforcement learning

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:36.831752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 598fa7ff-51f2-45ac-a73d-90793e8269d8 · outbound

This paper cites V., Sun, W., Singh, G., Deng, F., Jiang, J., and Ahn, S.

Deep Reinforcement Learning Agents are not even close to Human Intelligence V., Sun, W., Singh, G., Deng, F., Jiang, J., and Ahn, S

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:36.669772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ceb82f8c-577a-4884-9a0a-99e86ccf5c7e · outbound

This paper cites Hierarchical programmatic reinforcement learning via learning to compose programs.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Hierarchical programmatic reinforcement learning via learning to compose programs

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:36.480713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 50aa84f4-1e8c-4128-8a12-7f0b80986f43 · outbound

This paper cites Insight: End-to-end neuro-symbolic visual reinforcement learning with language explanations.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Insight: End-to-end neuro-symbolic visual reinforcement learning with language explanations

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:36.280885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 386998f7-4044-41c3-bbe8-9e66f93a7bf9 · outbound

This paper cites C., Bellemare, M.

Deep Reinforcement Learning Agents are not even close to Human Intelligence C., Bellemare, M

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:36.044746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e4e9ae23-f78e-4359-b390-7e22ea1572c6 · outbound

This paper cites Sympol: Symbolic tree-based on-policy reinforcement learning.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Sympol: Symbolic tree-based on-policy reinforcement learning

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:35.888727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7d34ea38-5ea1-44ef-8262-bd700c754bdb · outbound

This paper cites The perception of causality.

Deep Reinforcement Learning Agents are not even close to Human Intelligence The perception of causality

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:35.718227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 77127910-8ab2-488c-8786-10902b1bfd82 · outbound

This paper cites H., Mohanty, S.

Deep Reinforcement Learning Agents are not even close to Human Intelligence H., Mohanty, S

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:35.582517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2c7a38ea-21a3-4d72-926f-d05e7791c194 · outbound

This paper cites A., Veness, J., Bellemare, M.

Deep Reinforcement Learning Agents are not even close to Human Intelligence A., Veness, J., Bellemare, M

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:35.329174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 018f80ff-5a84-45c3-96e3-90b647baadb7 · outbound

This paper cites Robust reinforcement learning: A review of foundations and recent advances.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Robust reinforcement learning: A review of foundations and recent advances

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:35.141234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ec94d5bb-fd7d-4491-8498-c7a512511dda · outbound

This paper cites an unresolved cited work.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:30:34.956408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 158dd0aa-e211-4d10-a186-61d7b3457e33 · outbound

This paper cites Robust adversarial reinforcement learning.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Robust adversarial reinforcement learning

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:34.763140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2d042f70-164f-4593-b547-6cd503594f5b · outbound

This paper cites Proximal policy optimization algorithms.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Proximal policy optimization algorithms

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:34.536879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f62cab48-44ef-4e73-8924-5be07c177370 · outbound

This paper cites an unresolved cited work.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:30:34.369761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b6a6d657-8ed5-46e8-8baa-6591eb1263a1 · outbound

This paper cites Reinforcement learning in strategy-based and atari games: A review of google deepminds innovations.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Reinforcement learning in strategy-based and atari games: A review of google deepminds innovations

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:34.128710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bc146152-e5cc-4cf7-8cc7-2a845f72e286 · outbound

This paper cites S., and Kersting, K.

Deep Reinforcement Learning Agents are not even close to Human Intelligence S., and Kersting, K

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:33.938188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2af951df-e7fb-45db-8a30-46dff3455326 · outbound

This paper cites an unresolved cited work.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:30:33.797320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2782b6a3-9823-4960-8ea0-16a72533fb0c · outbound

This paper cites Right for the right concept: Revising neuro-symbolic concepts by interacting with their explanations.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Right for the right concept: Revising neuro-symbolic concepts by interacting with their explanations

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:33.618260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 19b5f7dd-0862-41ac-822c-551180500649 · outbound

This paper cites an unresolved cited work.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:30:33.411410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c10350ad-2fc0-4750-8a28-538e0e119e4c · outbound

This paper cites Scaling up robust mdps using function approximation.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Scaling up robust mdps using function approximation

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:33.215847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 708b08cd-e187-4ad1-a846-7433ecc88d27 · outbound

This paper cites an unresolved cited work.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:30:32.968146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c367caee-a864-4c4e-97a4-095f854d039f · outbound

This paper cites B., Kemp, C., Griffiths, T.

Deep Reinforcement Learning Agents are not even close to Human Intelligence B., Kemp, C., Griffiths, T

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:32.742695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9653dbf1-59c0-470e-aa83-7587194e3c4e · outbound

This paper cites Domain randomization for transferring deep neural networks from simulation to the real world.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Domain randomization for transferring deep neural networks from simulation to the real world

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:32.543806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c63006ba-c43e-43cf-a3ae-9d99a38d283d · outbound

This paper cites Munchausen reinforcement learning.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Munchausen reinforcement learning

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:32.305476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b8709bae-7a9d-4bd2-8a38-4d87fa0cd5ae · outbound

This paper cites Iterated q -network: Beyond one-step bellman updates in deep reinforcement learning.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Iterated q -network: Beyond one-step bellman updates in deep reinforcement learning

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:32.116826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d59baca6-7d38-4c74-9488-745f91582963 · outbound

This paper cites S., Rothkopf, C.

Deep Reinforcement Learning Agents are not even close to Human Intelligence S., Rothkopf, C

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:31.868781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b1696a84-ee83-4107-b976-6c316e03bc37 · outbound

This paper cites Towards generalizable reinforcement learning via causality-guided self-adaptive representations.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Towards generalizable reinforcement learning via causality-guided self-adaptive representations

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:31.586099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fe302e13-807a-468f-8082-8bba517d5958 · outbound

This paper cites F., Raposo, D., Santoro, A., Bapst, V., Li, Y., Babuschkin, I., Tuyls, K., Reichert, D.

Deep Reinforcement Learning Agents are not even close to Human Intelligence F., Raposo, D., Santoro, A., Bapst, V., Li, Y., Babuschkin, I., Tuyls, K., Reichert, D

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:31.382070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 73f0200f-3136-4fa3-8639-6d9f4bf4ded3 · outbound

This paper cites Natural environment benchmarks for reinforcement learning.

Deep Reinforcement Learning Agents are not even close to Human Intelligence Natural environment benchmarks for reinforcement learning

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:31.221306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2129f278-c5a9-4432-95c8-9ab95c88d773 · outbound

This paper cites N., et al.

Deep Reinforcement Learning Agents are not even close to Human Intelligence N., et al

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:31.003953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation 5c9da058-ebd4-4926-989a-b3dc64a38a1e · inbound

SLR: Automated Synthesis for Scalable Logical Reasoning cites this paper.

SLR: Automated Synthesis for Scalable Logical Reasoning Deep Reinforcement Learning Agents are not even close to Human Intelligence

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:52:13.803998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f075b78c-d9a8-42c9-a05a-53de452c851b · inbound

ActivationReasoning: Logical Reasoning in Latent Activation Spaces cites this paper.

ActivationReasoning: Logical Reasoning in Latent Activation Spaces Deep Reinforcement Learning Agents are not even close to Human Intelligence

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T05:45:56.222552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2155e889-86ac-4ca7-ab09-c222f376b1ea · inbound

GRAIL: Autonomous Concept Grounding for Neuro-Symbolic Reinforcement Learning cites this paper.

GRAIL: Autonomous Concept Grounding for Neuro-Symbolic Reinforcement Learning Deep Reinforcement Learning Agents are not even close to Human Intelligence

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T07:21:55.178067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 048c7cc3-3145-45d9-b093-68c9ca79fa90 · inbound

Bridging Physical Reasoning and Task Generalization via Visual Action Outcome Reasoning Alignment cites this paper.

Bridging Physical Reasoning and Task Generalization via Visual Action Outcome Reasoning Alignment Deep Reinforcement Learning Agents are not even close to Human Intelligence

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-08T03:14:31.658780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.